The 11th Iranian and the first International Conference on Machine Vision and Image Processing

High-Resolution Document ImageReconstruction from Video

Hossein Motamednia, Mohammad Minouei, Pooryaa Cheraaqee, Mohammad Reza Soheili
The 11th Iranian and the first International Conference on Machine Vision and Image Processing (MVIP 2020)

Abstract

Today, smartphones with high-quality built-in cameras are very common. People prefer to take pictures from documents with smartphones instead of scanning them with a scanner. Due to the limitation of scanners input size, it is difficult to scan everything with them. Resolution and quality of smartphone cameras are not enough to take a picture from large documents like posters. In this paper, we proposed a pipeline to make a high-resolution image of a document from its captured video. We suppose that during the record of the video, the camera was moved slowly all over the surface of the document from a close distance. In the proposed method we find the location of each frame in the document and we use a sharpness criterion to select the highest possible quality for each region of the document among all available frames. We evaluated our method on the SmartDoc Video dataset and reported the promising results.

Keywords: Image Mosaicking, Image Registration, Image Blending, Document Image, Video



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